Abstract

Side effects of prescription drugs present a serious issue.

Existing algorithms that detect side effects generally

require further analysis to confirm causality. In this paper

we investigate attributes based on the Bradford-Hill causality criteria that could be used by a classifying algorithm to definitively identify side effects directly. We found that it would be advantageous to use attributes based on the association strength, temporality and specificity criteria.